Zhaoquan Gu
Impact in
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- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
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- Network Security and Intrusion Detection
- Cognitive Radio Networks and Spectrum Sensing
Papers in
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- Adversarial Robustness in Machine Learning 41
- Anomaly Detection Techniques and Applications 31
- Topic Modeling 17
- Advanced Graph Neural Networks 16
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- Network Security and Intrusion Detection 32
- Cognitive Radio Networks and Spectrum Sensing 12
- Co-authors
- Muhammad ShafiqQiang-Sheng HuaZhihong TianYuexuan WangFrancis C. M. LauLianbing DengLe WangHao Li
- Journals
- IEEE Access (6 papers)Applied Sciences (5 papers)Wireless Communications and Mobile Computing (5 papers)Knowledge-Based Systems (4 papers)Neurocomputing (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhaoquan Gu
134 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 547
- Computer Networks and Communications 578
- Artificial Intelligence 766
- Signal Processing 202
- Media Technology 118
Countries citing papers authored by Zhaoquan Gu
This map shows the geographic impact of Zhaoquan Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhaoquan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoquan Gu more than expected).
Fields of papers citing papers by Zhaoquan Gu
This network shows the impact of papers produced by Zhaoquan Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhaoquan Gu. The network helps show where Zhaoquan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaoquan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 69 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 0 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 35 | |
| 18 | 2020 | 56 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 18 |
About Zhaoquan Gu
Zhaoquan Gu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 165 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (41 papers), Network Security and Intrusion Detection (32 papers), Anomaly Detection Techniques and Applications (31 papers), Advanced Malware Detection Techniques (23 papers), Topic Modeling (17 papers), Advanced Graph Neural Networks (16 papers), Cognitive Radio Networks and Spectrum Sensing (12 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (547 citations), Computer Networks and Communications (578 citations), Artificial Intelligence (766 citations), Signal Processing (202 citations) and Media Technology (118 citations). Zhaoquan Gu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Muhammad Shafiq, Qiang-Sheng Hua, Zhihong Tian, Yuexuan Wang, Francis C. M. Lau, Lianbing Deng, Le Wang, Hao Li, Xiaojiang Du and Mohsen Guizani. Their work appears in journals such as IEEE Access, Applied Sciences, Wireless Communications and Mobile Computing, Knowledge-Based Systems and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.